U.S. patent number 11,428,099 [Application Number 16/413,280] was granted by the patent office on 2022-08-30 for automated real-time drilling fluid density.
This patent grant is currently assigned to Saudi Arabian Oil Company. The grantee listed for this patent is Saudi Arabian Oil Company. Invention is credited to Salem H. Al Gharbi, Mohammed Murif Al-Rubaii, Abdullah Saleh Hussain Al-Yami.
United States Patent |
11,428,099 |
Al-Rubaii , et al. |
August 30, 2022 |
Automated real-time drilling fluid density
Abstract
Methods, systems, and computer-readable medium to perform
operations including: determining, in real-time, values of drilling
parameters of a drilling system drilling a wellbore; calculating,
based on the values of the drilling parameters, a cuttings
concentration in an annulus of the wellbore (CCA); calculating,
based on the calculated CCA and a mud weight (MW) of a drilling
fluid, an effective mud weight (MW.sub.eff) of the drilling fluid;
and controlling, based on the effective mud weight, a component of
the drilling system to adjust at least one of the drilling
parameters.
Inventors: |
Al-Rubaii; Mohammed Murif
(Dammam, SA), Al-Yami; Abdullah Saleh Hussain
(Dhahran, SA), Al Gharbi; Salem H. (Dammam,
SA) |
Applicant: |
Name |
City |
State |
Country |
Type |
Saudi Arabian Oil Company |
Dhahran |
N/A |
SA |
|
|
Assignee: |
Saudi Arabian Oil Company
(Dhahran, SA)
|
Family
ID: |
1000006530838 |
Appl.
No.: |
16/413,280 |
Filed: |
May 15, 2019 |
Prior Publication Data
|
|
|
|
Document
Identifier |
Publication Date |
|
US 20200362694 A1 |
Nov 19, 2020 |
|
Current U.S.
Class: |
1/1 |
Current CPC
Class: |
G06F
17/11 (20130101); E21B 49/003 (20130101); E21B
47/06 (20130101); E21B 21/08 (20130101); E21B
49/005 (20130101) |
Current International
Class: |
E21B
49/00 (20060101); E21B 21/08 (20060101); E21B
47/06 (20120101); G06F 17/11 (20060101) |
References Cited
[Referenced By]
U.S. Patent Documents
Foreign Patent Documents
Other References
Abdelgawad et al., "New approach to evaluate the equivalent
circulating density (ECD) using artifical intelligence techniques,"
Journal of Petroleum Exploration and Production Technology, Oct.
23, 2018, 10 pages. cited by applicant .
Ahmed et al., "The effect of drillstring rotation on equivalent
circulation density: modeling and analysis of field measurements,"
SPE 135587, SPE Annual Technical Conference and Exhibition, Society
of Petroleum Engineers, Sep. 19-22, 2010, 11 pages. cited by
applicant .
Baranthol et al., "Determination of hydrostatic pressure and
dynamic ECD by computer models and field measurements on the
directional HPHT well 22130C-13," SPE/IADC 29430, SPE/IADC Drilling
Conference, Society of Petroleum Engineers, Feb. 28-Mar. 2, 1995,
10 pages. cited by applicant .
Elzenary et al., "New technology to evaluatie equivalent
circulating density while drilling using artificial intelligence,"
SPE 192282-MS, SPE Kingdom of Saudi Arabia Annual Technical
Symposium and Exhibition, Society of Petroleum Engineers, Apr.
23-26, 2018, 14 pages. cited by applicant .
Feng, "The Temperature of Prediction in Deepwater Drilling of
Vertical Well," dissertation submitted to the Office of Graduate
Studies of Texas A&M University in partial fulfillment of the
requirements of the degree of Doctor of Philosophy, May 2011, 146
pages. cited by applicant .
Guria, "Rheological analysis of drilling fluid using Marsh Funnel,"
Department of Petroleum Engineering, Indian School of Mines, 2013,
8 pages. cited by applicant .
Harris et al., "Evaluation of equivalent circulating density of
drilling fluids under high pressure/high temperature conditions,"
SPE 97018, SPE Annual Technical Conference and Exhibition, Society
of Petroleum Engineers, Oct. 9-12, 2005, 10 pages. cited by
applicant .
Marsh, "Properties and Treatment of Rotary Mud," Society of
Petroleum Engineers, Transactions of the AIME vol. 92, No. 1, 1931,
16 pages. cited by applicant .
Osman and Aggour, "Determination of drilling mud density change
with pressure and temperature made simple and accurate by ANN," SPE
81422, SPE, Society of Petroleum Engineers, Bahrain, Jun. 9-12,
2003, 12 pages. cited by applicant .
Anonymous, drillingformulas.com [online], "Increase in mud weight
due to cutting--drilling formulas and drilling calculations,"
available on or before Mar. 7, 2014, Jul. 28, 2020, retrieved from
URL
<http://www.drillingforumulas.com/increase-in-mud-weight-and-ecd-due-t-
o-cutting/>, 8 pages. cited by applicant .
Anonymous, drillingformulas.com [online], "Maximum ROP before
fracture formation--drilling formulas and drilling calculations,"
available on or before Mar. 11, 2014, retrieved on Jul. 28, 2020,
retrieved from URL
<http://www.drillingforumulas.com/maximum-rop-before-fracture-formatio-
n/>, 7 pages. cited by applicant .
Rubaii et al., "A new robust approach for hole cleaning to improve
rate of penetration," presented at the SPE Kingdom of Saudi Arabia
Annual Technical Symposium and Exhibition, Apr. 23-26, 2018,
Dammam, Saudi Arabia, 40 pages. cited by applicant .
PCT International Search Report and Written Opinion in
International Appln. No. PCT/US2020/032675, dated Jul. 28, 2020, 15
pages. cited by applicant .
PCT International Search Report and Written Opinion in
International Appln. No. PCT/US2020/032644, dated Aug. 7, 2020, 15
pages. cited by applicant.
|
Primary Examiner: Fitzgerald; John
Attorney, Agent or Firm: Fish & Richardson P.C.
Claims
What is claimed is:
1. A computer-implemented method comprising: determining, in
real-time, values of drilling parameters of a drilling system
drilling a wellbore, wherein the drilling parameters comprise: a
rate of penetration (ROP) of a drilling tool of the drilling system
in feet/hour, a hole size of the wellbore in feet, and a flow rate
(GPM) of the drilling fluid at a mud pump of the drilling system in
gallon per minutes; calculating, based on the values of the
drilling parameters, a cuttings concentration in an annulus of the
wellbore (CCA), wherein the CCA is calculated using the equation:
.times..times. ##EQU00009## and wherein TR is a dimensionless
cuttings transport ratio; calculating, based on the calculated CCA
and a mud weight (MW) of a drilling fluid, an effective mud weight
(MW.sub.eff) of the drilling fluid; and controlling, based on the
effective mud weight, a component of the drilling system to adjust
at least one of the drilling parameters.
2. The computer-implemented method of claim 1, wherein the
effective mud weight is calculated using the equation:
(MW.sub.eff)=(MW*CCA)+MW.
3. The computer-implemented method of claim 1, wherein controlling,
based on the effective mud weight, a component of the drilling
system to adjust at least one of the drilling parameters comprises:
determining, based on the effective mud weight, a rate of
penetration for a drilling tool of the drilling system; and
controlling the drilling tool such that the rate of penetration of
the drilling tool is less than or equal to the determined rate of
penetration.
4. The computer-implemented method of claim 3, wherein determining
the rate of penetration for the drilling tool is further based on a
pore pressure limit and a fracture pressure limit.
5. The computer-implemented method of claim 3, wherein the rate of
penetration is calculated using the equation:
.times..times..times..times. ##EQU00010## where OH is an open hole
size of the wellbore.
6. A non-transitory, computer-readable medium storing one or more
instructions executable by a computer system to perform operations
comprising: determining, in real-time, values of drilling
parameters of a drilling system drilling a wellbore, wherein the
drilling parameters comprise: a rate of penetration (ROP) of a
drilling tool of the drilling system in feet/hour, a hole size of
the wellbore in feet, and a flow rate (GPM) of the drilling fluid
at a mud pump of the drilling system in gallon per minutes;
calculating, based on the values of the drilling parameters, a
cuttings concentration in an annulus of the wellbore (CCA), wherein
the CCA is calculated using the equation: .times..times.
##EQU00011## and wherein TR is a dimensionless cuttings transport
ratio; calculating, based on the calculated CCA and a mud weight
(MW) of a drilling fluid, an effective mud weight (MW.sub.eff) of
the drilling fluid; and controlling, based on the effective mud
weight, a component of the drilling system to adjust at least one
of the drilling parameters.
7. The non-transitory, computer-readable medium of claim 6, wherein
the effective mud weight is calculated using the equation:
(MW.sub.eff)=(MW*CCA)+MW.
8. The non-transitory, computer-readable medium of claim 6, wherein
controlling, based on the effective mud weight, a component of the
drilling system to adjust at least one of the drilling parameters
comprises: determining, based on the effective mud weight, a rate
of penetration for a drilling tool of the drilling system; and
controlling the drilling tool such that the rate of penetration of
the drilling tool is less than or equal to the determined rate of
penetration.
9. The non-transitory, computer-readable medium of claim 8, wherein
determining the rate of penetration for the drilling tool is
further based on a pore pressure limit and a fracture pressure
limit.
10. The non-transitory, computer-readable medium of claim 8,
wherein the rate of penetration is calculated using the equation:
.times..times..times..times. ##EQU00012## where OH is an open hole
size of the wellbore.
11. A computer-implemented system, comprising: one or more
processors; and a non-transitory computer-readable storage medium
coupled to the one or more processors and storing programming
instructions for execution by the one or more processors, the
programming instructions instructing the one or more processors to
perform operations comprising: determining, in real-time, values of
drilling parameters of a drilling system drilling a wellbore,
wherein the drilling parameters comprise: a rate of penetration
(ROP) of a drilling tool of the drilling system in feet/hour, a
hole size of the wellbore in feet, and a flow rate (GPM) of the
drilling fluid at a mud pump of the drilling system in gallon per
minutes; calculating, based on the values of the drilling
parameters, a cuttings concentration in an annulus of the wellbore
(CCA), wherein the CCA is calculated using the equation:
.times..times. ##EQU00013## and wherein TR is a dimensionless
cuttings transport ratio; calculating, based on the calculated CCA
and a mud weight (MW) of a drilling fluid, an effective mud weight
(MW.sub.eff) of the drilling fluid; and controlling, based on the
effective mud weight, a component of the drilling system to adjust
at least one of the drilling parameters.
12. The computer-implemented system of claim 11, wherein the
effective mud weight is calculated using the equation:
(MW.sub.eff)=(MW*CCA)+MW.
13. The computer-implemented system of claim 11, wherein
controlling, based on the effective mud weight, a component of the
drilling system to adjust at least one of the drilling parameters
comprises: determining, based on the effective mud weight, a rate
of penetration for a drilling tool of the drilling system; and
controlling the drilling tool such that the rate of penetration of
the drilling tool is less than or equal to the determined rate of
penetration.
14. The computer-implemented system of claim 13, wherein
determining the rate of penetration for the drilling tool is
further based on a pore pressure limit and a fracture pressure
limit.
Description
The present disclosure relates to oil field exploration and, in
particular, to methods and systems for calculating drilling fluid
density.
BACKGROUND
In wellbore drilling, a drilling system causes a drill bit to
rotate when in contact with a formation. The rotation of the drill
bit breaks and fractures the formation to form the wellbore. When
drilling the wellbore, the drilling system circulates a drilling
fluid (also referred to as drilling mud or mud) to the drill bit
where the drilling fluid exits through drill bit nozzles to the
bottom of the wellbore. The drilling fluid serves many purposes
including, but not limited to, cooling the drill bit, supplying
hydrostatic pressure upon the formation to prevent fluids from
flowing into the wellbore, and carrying formation cuttings from the
wellbore to the surface.
SUMMARY
The present disclosure describes methods and systems for
calculating a drilling fluid density and using the calculation to
improve drilling operations. The methods and systems utilize
real-time input parameters to calculate the drilling fluid density.
In an embodiment, the drilling fluid density is calculated based on
a cuttings concentration in the annulus (CCA), which is calculated
from real-time values of drilling parameters. This drilling fluid
density accounts for real-time cuttings weight and drilling fluid
weight. This calculation of drilling fluid density is then used to
adjust drilling parameters to improve drilling operations.
Aspects of the subject matter described in this specification may
be embodied in methods that include the actions of: determining, in
real-time, values of drilling parameters of a drilling system
drilling a wellbore; calculating, based on the values of the
drilling parameters, a cuttings concentration in an annulus of the
wellbore (CCA); calculating, based on the calculated CCA and a mud
weight (MW) of a drilling fluid, an effective mud weight
(MW.sub.eff) of the drilling fluid; and controlling, based on the
effective mud weight, a component of the drilling system to adjust
at least one of the drilling parameters.
The previously-described implementation is implementable using a
computer-implemented method; a non-transitory, computer-readable
medium storing computer-readable instructions to perform the
computer-implemented method; and a computer system comprising a
computer memory interoperably coupled with a hardware processor
configured to perform the computer-implemented method/the
instructions stored on the non-transitory, computer-readable
medium. These and other embodiments may each optionally include one
or more of the following features.
In a first aspect, the effective mud weight is calculated using the
equation: (MW.sub.eff)=(MW*CCA)+MW. In a second aspect, the
drilling parameters comprise: a rate of penetration (ROP) of a
drilling tool of the drilling system, a hole size of the wellbore,
and a flow rate (GPM) of the drilling fluid. In a third aspect, CCA
is calculated using the equation
.times..times. ##EQU00001## wherein TR is a cuttings transport
ratio. In a fourth aspect, controlling, based on the effective mud
weight, a component of the drilling system to adjust at least one
of the drilling parameters comprises: determining, based on the
effective mud weight, a rate of penetration for a drilling tool of
the drilling system, and controlling the drilling tool such that
the rate of penetration of the drilling tool is less than or equal
to the determined rate of penetration. In a fifth aspect,
determining the rate of penetration for the drilling tool is
further based on a pore pressure limit and a fracture pressure
limit. In a sixth aspect, the rate of penetration is calculated
using the equation:
.times..times..times..times..times. ##EQU00002## where ROP is the
rate of penetration, OH is an open hole size of the wellbore, and
GPM is a flow rate of the drilling fluid.
DESCRIPTION OF DRAWINGS
FIG. 1 is a block diagram of an example drilling system, according
to some implementations of the present disclosure.
FIGS. 2A, 2B, 3A, 3B, 4A, and 4B are graphs that compare effective
mud weight calculated using commercial methods and effective mud
weight calculated using the disclosed methods at different wellbore
depths, according to some implementations.
FIG. 5 is a flowchart of an example method for calculating drilling
fluid density in real-time, according to some implementations of
the present disclosure.
FIG. 6 is a block diagram of an example computer system used to
provide computational functionalities associated with described
algorithms, methods, functions, processes, flows, and procedures as
described in the present disclosure, according to some
implementations of the present disclosure.
Like reference numbers and designations in the various drawings
indicate like elements.
DETAILED DESCRIPTION
The following detailed description describes methods and systems
for calculating drilling fluid density and using the calculation to
improve drilling operations. Various modifications, alterations,
and permutations of the disclosed implementations can be made and
will be readily apparent to those of ordinary skill in the art.
Additionally, the general principles defined may be applied to
other implementations and applications without departing from the
scope of the disclosure. In some instances, details unnecessary to
obtain an understanding of the described subject matter may be
omitted so as to not obscure one or more described implementations
with unnecessary detail and since such details are within the skill
of one of ordinary skill in the art. The present disclosure is not
intended to be limited to the described or illustrated
implementations but to be accorded the widest scope consistent with
the described principles and features.
When using a drilling fluid in a drilling operation, the drilling
fluid property that determines the drilling fluid performance is
the drilling fluid density (also referred to as mud weight or mud
density). The drilling fluid density directly affects many
properties of the wellbore, such as wellbore stability, fluid
circulation in the wellbore, and formation damage. Accordingly, the
drilling fluid density can be used to derive values for wellbore
properties. However, during drilling, various factors, such as
cuttings from the formation, affect the drilling fuel density.
Current drilling fluid density values used in practice are not
dynamic values that account for these factors. As a result, models
that rely on these drilling fluid densities are inaccurate.
Disclosed are methods and systems for calculating drilling fluid
density in real-time during a drilling operation. For example, the
term "real-time" can correspond to events that occur within a
specified period of time, such as within one minute, within one
second, or within milliseconds. The drilling fluid density
calculated in real-time is referred to as an effective drilling
fluid density. In an implementation, the calculation is based on a
cuttings concentration in the annulus (CCA), which is determined
using real-time values of drilling parameters. Because the
calculation is based on the CCA, the effective drilling fluid
density accounts for both the weight of cuttings and the static
drilling fluid density. Furthermore, because the effective drilling
fluid density is a real-time value, monitoring the effective
density allows a drilling system to make decisions whether to
adjust corresponding drilling parameters to improve the drilling
operation.
FIG. 1 is a block diagram of an example drilling system 100 for
drilling a wellbore, according to some implementations. The
drilling system 100 includes rotating equipment 102, circulating
system 104, logging and measuring equipment 106, and controller
120. The rotating equipment 102, which is responsible for rotary
drilling, includes drill string 108, drill bit 110, and drill pipe
112. The circulating system 104, which is responsible for the
circulation of drilling fluid, includes mud pump 114, mud pit(s)
116, and drill bit nozzle 118. The logging and measuring equipment
106 includes sensors, tools, and devices that are configured for
measurement while drilling (MWD), logging while drilling (LWD), or
both. The controller 120 is a computer system (for example,
computer system 600 shown in FIG. 6) that is configured to control
one or more components of the drilling system 100.
To drill the wellbore, the drilling system 100 lowers the drill bit
110, which is attached to the drill string 108, into a well until
the drill bit 110 makes contact with a formation. Once in contact,
the drill bit 110 is rotated to break and fracture the formation,
thereby forming the wellbore. As the rotating equipment 102 is
drilling the wellbore, the mud pump 114 withdraws drilling fluid
from the mud pit(s) 116 and pumps the drilling fluid down the drill
string 108 through the drill bit nozzles 118 that are located on
the drill bit 110. The drilling fluid flows to the bottom of the
wellbore and upward to the surface via an annulus formed between
the drilling string 108 and the walls of the wellbore. When flowing
to the surface, the drilling fluid carries portions of the
formation, called cuttings, that are fractured by the rotating
drill bit 110. At the surface, the circulating system 104 filters
the cuttings from the drilling fluid and then pumps the drilling
fluid back down to the bottom the wellbore.
In an embodiment, during a drilling operation, the drilling system
100 determines, in real-time, the effective drilling fluid density.
In an implementation, the drilling fluid density is calculated
based on a cuttings concentration in the annulus (CCA), which is
calculated using real-time values of drilling parameters. The
real-time values of drilling parameters are obtained from logging
and measuring tools 106, surface logs, or daily drilling reports.
The drilling parameters that are used to calculate the CCA include
the rate of penetration (ROP) of the drill bit 110, a hole size of
the wellbore, and a flow rate of the mud pump 114. In an example,
the CCA is calculated using equation (1):
.times..times..times..times..times..times..times. ##EQU00003## In
equation (1), "Hole Size" is the diameter of the wellbore (in
feet), ROP is a rate of penetration (drilling rate, in feet/hour)
of a drilling tool (for example, drill bit 110), GPM is the flow
rate (in gallon per minutes) of the drilling fluid, and TR
represents a transport ratio of the cuttings to the surface. In
some examples, TR is approximated as a constant with a value of
0.55.
In an example, the effective drilling fluid density is calculated
using equation (2): (MW.sub.eff)=(MW*CCA)+MW. (2) In equation (2),
MW.sub.eff is the effective drilling fluid density (in pounds per
gallon (lb/gal)) and MW is the static drilling fluid density (that
is, the drilling fluid density without any cuttings). As shown by
equation (2), the effective drilling fluid density accounts for the
static drilling fluid density and the cuttings concentration.
Once the effective drilling fluid density is calculated, the
drilling system 100 can use the density to determine information
about the drilling operation. As an example, the drilling system
100 uses the effective drilling fluid density to determine a
stability of the formation. In particular, the effective drilling
fluid density is indicative of the hydrostatic pressure on the
formation, and therefore, the drilling system 100 can use the
effective drilling fluid density to derive the stability of the
formation. As another example, the effective drilling fluid density
is indicative of an extent of cuttings accumulation in the annulus.
As yet another example, the effective drilling fluid density is
indicative of an amount of fluid of dilution in circulation.
From the derived information about the drilling operation, the
drilling system 100 can determine to make one or more adjustments
to the operation, perhaps to meet changing downhole conditions. The
adjustments may be to surface properties, mechanical parameters
(for example, ROP, flow rate, pipe-rotation speed, and tripping
speed), or both. In response to making the determination to make
one or more adjustments, the drilling system 100 adjusts the
operating parameters of one or more components of the drilling
system 100 to adjust the surface properties, the mechanical
parameters, or both.
In an example, based on the effective drilling fluid density, the
drilling system 100 determines a maximum rate of penetration for
the drill bit 110. More specifically, the effective drilling fluid
density, a pore pressure limit of the formation, and a fracture
pressure limit of the formation are used to calculate the stability
of the formation. Then, based on the calculated stability, the
maximum rate of penetration is calculated. Additionally, the
drilling system 100 can control the rate of penetration, perhaps to
be less than the calculated maximum rate. Controlling the rate of
penetration based on the effective drilling fluid density allows
the drilling system 100 to: (i) avoid fracturing the formation
while drilling, (ii) ensure smooth drilling with generated drilling
cuttings, and (iii) avoid or mitigate stuck pipe incidents.
In an example, the rate of penetration may be calculated using the
effective drilling fluid density using equation (3):
.times..times..times..times..times. ##EQU00004## In equation (3),
MW.sub.eff is the effective mud weight in pound-force per cubic
foot (PCF), MW is the designed mud weight in PCF, GPM is the flow
rate of mud pump gallon per minutes, and OH is open-hole size in
inches (in).
In another example, based on the effective drilling fluid density,
the drilling system 100 adjusts the drilling fluid density. In one
implementation, the drilling system 100 adjusts the drilling fluid
density by controlling the mud pump 114 to increase or decrease the
volume of drilling fluid pumped into the borehole. Increasing the
volume of drilling fluid decreases the drilling fluid density by
dilution and decreasing the volume of drilling fluid increases the
drilling fluid density. In another implementation, the drilling
system 100 increases the drilling fluid density by adding a
weighing agent to the drilling fluid.
FIGS. 2A, 2B, 3A, 3B, 4A, and 4B are graphs that compare effective
mud weight calculated using commercial methods and effective mud
weight calculated using the disclosed methods at different wellbore
depths, according to some implementations. In particular, the
graphs compare the effective mud weight calculated using
Baralogix.RTM. (commercially available from Halliburton) and the
effective mud weight calculated using the disclosed methods. FIGS.
2A, 3A, and 4A illustrate graphs of the effective mud weight, at
different depths, calculated using Baralogix.RTM.. FIGS. 2B, 3B,
and 4B illustrate graphs of the effective mud weight, at different
depths, calculated using the disclosed methods. As shown by these
figures, the mud weight calculated using the disclosed methods is
similar to the mud weight calculated using Baralogix.RTM..
FIG. 5 is a flowchart of an example method 500 for calculating
effective drilling fluid density in real-time, according to some
implementations. For clarity of presentation, the description that
follows generally describes method 500 in the context of the other
figures in this description. However, it will be understood that
method 500 can be performed, for example, by any suitable system,
environment, software, and hardware, or a combination of systems,
environments, software, and hardware, as appropriate. In some
implementations, various steps of method 600 can be run in
parallel, in combination, in loops, or in any order.
Method 500 begins at step 502, which involves determining, in
real-time, values of drilling parameters of a drilling system
drilling a wellbore. The term real-time can correspond to events
that occur within a specified period of time, such as within one
minute, within one second, or within milliseconds. In some
implementations, some of these variables, such as ROP, hole size,
GPM, TR, can be automatically extracted from a received survey log.
In some implementations, some of these variables, such as density
of the drilling fluid, annular velocity, and rheology factors, can
be automatically extracted from a received rheology log. In other
implementations, the drilling parameters are determined from one or
more additional sources such as measuring while drilling (MWD)
tools, logging while drilling (LWD) tools, and daily drilling
reports (also referred to as "morning reports").
At step 504, method 500 includes calculating, based on the values
of the drilling parameters, a cuttings concentration in an annulus
of the wellbore (CCA). In an implementation, the drilling
parameters that are used to calculate the CCA include a rate of
penetration (ROP) of a drilling tool, a cuttings transport ratio
(TR), a hole size of the wellbore, and a mud pump flow rate (GPM).
In an example, the CCA is calculated using the equation:
.times..times..times. ##EQU00005## In some examples, TR is
estimated as 0.55.
At step 506, method 500 includes calculating, based on the
calculated CCA and a mud weight (MW) of a drilling fluid, an
effective mud weight (MW.sub.eff) of the drilling fluid. In an
example, the effective drilling fluid density is calculated using
the equation: MW.sub.eff=(MW*CCA)+MW.
At 508, method 500 involves controlling, based on the effective mud
weight, a component of the drilling system to adjust at least one
of the drilling parameters. In an example, based on the effective
drilling fluid density, the drilling system determines a maximum
rate of penetration. The rate of penetration may be calculated
using the effective drilling fluid density using the equation
.times..times..times..times. ##EQU00006## In another example, based
on the effective drilling fluid density, the drilling system
adjusts the drilling fluid density.
The example method 500 shown in FIG. 5 can be modified or
reconfigured to include additional, fewer, or different steps (not
shown in FIG. 5), which can be performed in the order shown or in a
different order.
FIG. 6 is a block diagram of an example computer system 600 used to
provide computational functionalities associated with described
algorithms, methods, functions, processes, flows, and procedures
described in the present disclosure, according to some
implementations of the present disclosure. The illustrated computer
602 is intended to encompass any computing device such as a server,
a desktop computer, a laptop/notebook computer, a wireless data
port, a smart phone, a personal data assistant (PDA), a tablet
computing device, or one or more processors within these devices,
including physical instances, virtual instances, or both. The
computer 602 can include input devices such as keypads, keyboards,
and touch screens that can accept user information. In addition,
the computer 602 can include output devices that can convey
information associated with the operation of the computer 602. The
information can include digital data, visual data, audio
information, or a combination of information. The information can
be presented in a graphical user interface (UI) (or GUI).
The computer 602 can serve in a role as a client, a network
component, a server, a database, a persistency, or components of a
computer system for performing the subject matter described in the
present disclosure. The illustrated computer 602 is communicably
coupled with a network 630. In some implementations, one or more
components of the computer 602 can be configured to operate within
different environments, including cloud-computing-based
environments, local environments, global environments, and
combinations of environments.
At a high level, the computer 602 is an electronic computing device
operable to receive, transmit, process, store, and manage data and
information associated with the described subject matter. According
to some implementations, the computer 602 can also include, or be
communicably coupled with, an application server, an email server,
a web server, a caching server, a streaming data server, or a
combination of servers.
The computer 602 can receive requests over network 630 from a
client application (for example, executing on another computer
602). The computer 602 can respond to the received requests by
processing the received requests using software applications.
Requests can also be sent to the computer 602 from internal users
(for example, from a command console), external (or third) parties,
automated applications, entities, individuals, systems, and
computers.
Each of the components of the computer 602 can communicate using a
system bus 603. In some implementations, any or all of the
components of the computer 602, including hardware or software
components, can interface with each other or the interface 604 (or
a combination of both), over the system bus 603. Interfaces can use
an application programming interface (API) 612, a service layer
613, or a combination of the API 612 and service layer 613. The API
612 can include specifications for routines, data structures, and
object classes. The API 612 can be either computer-language
independent or dependent. The API 612 can refer to a complete
interface, a single function, or a set of APIs.
The service layer 613 can provide software services to the computer
602 and other components (whether illustrated or not) that are
communicably coupled to the computer 602. The functionality of the
computer 602 can be accessible for all service consumers using this
service layer. Software services, such as those provided by the
service layer 613, can provide reusable, defined functionalities
through a defined interface. For example, the interface can be
software written in JAVA, C++, or a language providing data in
extensible markup language (XML) format. While illustrated as an
integrated component of the computer 602, in alternative
implementations, the API 612 or the service layer 613 can be
stand-alone components in relation to other components of the
computer 602 and other components communicably coupled to the
computer 602. Moreover, any or all parts of the API 612 or the
service layer 613 can be implemented as child or sub-modules of
another software module, enterprise application, or hardware module
without departing from the scope of the present disclosure.
The computer 602 includes an interface 604. Although illustrated as
a single interface 604 in FIG. 6, two or more interfaces 604 can be
used according to particular needs, desires, or particular
implementations of the computer 602 and the described
functionality. The interface 604 can be used by the computer 602
for communicating with other systems that are connected to the
network 630 (whether illustrated or not) in a distributed
environment. Generally, the interface 604 can include, or be
implemented using, logic encoded in software or hardware (or a
combination of software and hardware) operable to communicate with
the network 630. More specifically, the interface 604 can include
software supporting one or more communication protocols associated
with communications. As such, the network 630 or the interface's
hardware can be operable to communicate physical signals within and
outside of the illustrated computer 602.
The computer 602 includes a processor 605. Although illustrated as
a single processor 605 in FIG. 6, two or more processors 605 can be
used according to particular needs, desires, or particular
implementations of the computer 602 and the described
functionality. Generally, the processor 605 can execute
instructions and can manipulate data to perform the operations of
the computer 602, including operations using algorithms, methods,
functions, processes, flows, and procedures as described in the
present disclosure.
The computer 602 also includes a database 606 that can hold data
for the computer 602 and other components connected to the network
630 (whether illustrated or not). For example, database 606 can be
an in-memory, conventional, or a database storing data consistent
with the present disclosure. In some implementations, database 606
can be a combination of two or more different database types (for
example, hybrid in-memory and conventional databases) according to
particular needs, desires, or particular implementations of the
computer 602 and the described functionality. Although illustrated
as a single database 606 in FIG. 6, two or more databases (of the
same, different, or combination of types) can be used according to
particular needs, desires, or particular implementations of the
computer 602 and the described functionality. While database 606 is
illustrated as an internal component of the computer 602, in
alternative implementations, database 606 can be external to the
computer 602.
The computer 602 also includes a memory 607 that can hold data for
the computer 602 or a combination of components connected to the
network 630 (whether illustrated or not). Memory 607 can store any
data consistent with the present disclosure. In some
implementations, memory 607 can be a combination of two or more
different types of memory (for example, a combination of
semiconductor and magnetic storage) according to particular needs,
desires, or particular implementations of the computer 602 and the
described functionality. Although illustrated as a single memory
607 in FIG. 6, two or more memories 607 (of the same, different, or
combination of types) can be used according to particular needs,
desires, or particular implementations of the computer 602 and the
described functionality. While memory 607 is illustrated as an
internal component of the computer 602, in alternative
implementations, memory 607 can be external to the computer
602.
The application 608 can be an algorithmic software engine providing
functionality according to particular needs, desires, or particular
implementations of the computer 602 and the described
functionality. For example, application 608 can serve as one or
more components, modules, or applications. Further, although
illustrated as a single application 608, the application 608 can be
implemented as multiple applications 608 on the computer 602. In
addition, although illustrated as internal to the computer 602, in
alternative implementations, the application 608 can be external to
the computer 602.
The computer 602 can also include a power supply 614. The power
supply 614 can include a rechargeable or non-rechargeable battery
that can be configured to be either user- or non-user-replaceable.
In some implementations, the power supply 614 can include
power-conversion and management circuits, including recharging,
standby, and power management functionalities. In some
implementations, the power-supply 614 can include a power plug to
allow the computer 602 to be plugged into a wall socket or a power
source to, for example, power the computer 602 or recharge a
rechargeable battery.
There can be any number of computers 602 associated with, or
external to, a computer system containing computer 602, with each
computer 602 communicating over network 630. Further, the terms
"client," "user," and other appropriate terminology can be used
interchangeably, as appropriate, without departing from the scope
of the present disclosure. Moreover, the present disclosure
contemplates that many users can use one computer 602 and one user
can use multiple computers 602.
Described implementations of the subject matter can include one or
more features, alone or in combination.
For example, in a first implementation, a computer-implemented
method, comprising: determining, in real-time, values of drilling
parameters of a drilling system drilling a wellbore; calculating,
based on the values of the drilling parameters, a cuttings
concentration in an annulus of the wellbore (CCA); calculating,
based on the calculated CCA and a mud weight (MW) of a drilling
fluid, an effective mud weight (MW.sub.eff) of the drilling fluid;
and controlling, based on the effective mud weight, a component of
the drilling system to adjust at least one of the drilling
parameters. The foregoing and other described implementations can
each, optionally, include one or more of the following
features:
A first feature, combinable with any of the following features,
where the effective mud weight is calculated using the equation:
(MW.sub.eff)=(MW*CCA)+MW.
A second feature, combinable with any of the previous or following
features, where the drilling parameters comprise: a rate of
penetration (ROP) of a drilling tool of the drilling system, a hole
size of the wellbore, and a flow rate (GPM) of the drilling
fluid.
A third feature, combinable with any of the previous or following
features, where the CCA is calculated using the equation:
.times..times. ##EQU00007## wherein TR is a cuttings transport
ratio.
A fourth feature, combinable with any of the previous or following
features, where controlling, based on the effective mud weight, a
component of the drilling system to adjust at least one of the
drilling parameters includes: determining, based on the effective
mud weight, a rate of penetration for a drilling tool of the
drilling system; and controlling the drilling tool such that the
rate of penetration of the drilling tool is less than or equal to
the determined rate of penetration.
A fifth feature, combinable with any of the previous or following
features, where determining the rate of penetration for the
drilling tool is further based on a pore pressure limit and a
fracture pressure limit.
A sixth feature, combinable with any of the previous or following
features, where the rate of penetration is calculated using the
equation:
.times..times..times..times. ##EQU00008## where ROP is the rate of
penetration, OH is an open hole size of the wellbore, and GPM is a
flow rate of the drilling fluid.
In a second implementation, a non-transitory, computer-readable
medium storing one or more instructions executable by a computer
system to perform operations comprising any of the previous
steps.
In a third implementation, a computer-implemented system,
comprising one or more processors and a non-transitory
computer-readable storage medium coupled to the one or more
processors and storing programming instructions for execution by
the one or more processors, the programming instructions
instructing the one or more processors to perform operations
comprising any of the previous steps.
Implementations of the subject matter and the functional operations
described in this specification can be implemented in digital
electronic circuitry, in tangibly embodied computer software or
firmware, in computer hardware, including the structures disclosed
in this specification and their structural equivalents, or in
combinations of one or more of them. Software implementations of
the described subject matter can be implemented as one or more
computer programs. Each computer program can include one or more
modules of computer program instructions encoded on a tangible,
non-transitory, computer-readable computer-storage medium for
execution by, or to control the operation of, data processing
apparatus. Alternatively, or additionally, the program instructions
can be encoded in/on an artificially generated propagated signal.
The example, the signal can be a machine-generated electrical,
optical, or electromagnetic signal that is generated to encode
information for transmission to suitable receiver apparatus for
execution by a data processing apparatus. The computer-storage
medium can be a machine-readable storage device, a machine-readable
storage substrate, a random or serial access memory device, or a
combination of computer-storage mediums.
The terms "data processing apparatus," "computer," and "electronic
computer device" (or equivalent as understood by one of ordinary
skill in the art) refer to data processing hardware. For example, a
data processing apparatus can encompass all kinds of apparatus,
devices, and machines for processing data, including by way of
example, a programmable processor, a computer, or multiple
processors or computers. The apparatus can also include special
purpose logic circuitry including, for example, a central
processing unit (CPU), a field programmable gate array (FPGA), or
an application-specific integrated circuit (ASIC). In some
implementations, the data processing apparatus or special purpose
logic circuitry (or a combination of the data processing apparatus
or special purpose logic circuitry) can be hardware- or
software-based (or a combination of both hardware- and
software-based). The apparatus can optionally include code that
creates an execution environment for computer programs, for
example, code that constitutes processor firmware, a protocol
stack, a database management system, an operating system, or a
combination of execution environments. The present disclosure
contemplates the use of data processing apparatuses with or without
conventional operating systems, for example, LINUX, UNIX, WINDOWS,
MAC OS, ANDROID, or IOS.
A computer program, which can also be referred to or described as a
program, software, a software application, a module, a software
module, a script, or code, can be written in any form of
programming language. Programming languages can include, for
example, compiled languages, interpreted languages, declarative
languages, or procedural languages. Programs can be deployed in any
form, including as stand-alone programs, modules, components,
subroutines, or units for use in a computing environment. A
computer program can, but need not, correspond to a file in a file
system. A program can be stored in a portion of a file that holds
other programs or data, for example, one or more scripts stored in
a markup language document, in a single file dedicated to the
program in question, or in multiple coordinated files storing one
or more modules, sub-programs, or portions of code. A computer
program can be deployed for execution on one computer or on
multiple computers that are located, for example, at one site or
distributed across multiple sites that are interconnected by a
communication network. While portions of the programs illustrated
in the various figures may be shown as individual modules that
implement the various features and functionality through various
objects, methods, or processes, the programs can instead include a
number of sub-modules, third-party services, components, and
libraries. Conversely, the features and functionality of various
components can be combined into single components as appropriate.
Thresholds used to make computational determinations can be
statically, dynamically, or both statically and dynamically
determined.
The methods, processes, or logic flows described in this
specification can be performed by one or more programmable
computers executing one or more computer programs to perform
functions by operating on input data and generating output. The
methods, processes, or logic flows can also be performed by, and
apparatus can also be implemented as, special purpose logic
circuitry, for example, a CPU, an FPGA, or an ASIC.
Computers suitable for the execution of a computer program can be
based on one or more of general and special purpose microprocessors
and other kinds of CPUs. The elements of a computer are a CPU for
performing or executing instructions and one or more memory devices
for storing instructions and data. Generally, a CPU can receive
instructions and data from (and write data to) a memory. A computer
can also include, or be operatively coupled to, one or more mass
storage devices for storing data. In some implementations, a
computer can receive data from, and transfer data to, the mass
storage devices including, for example, magnetic, magneto-optical
disks, or optical disks. Moreover, a computer can be embedded in
another device, for example, a mobile telephone, a personal digital
assistant (PDA), a mobile audio or video player, a game console, a
global positioning system (GPS) receiver, or a portable storage
device such as a universal serial bus (USB) flash drive.
Computer-readable media (transitory or non-transitory, as
appropriate) suitable for storing computer program instructions and
data can include all forms of permanent/non-permanent and
volatile/non-volatile memory, media, and memory devices.
Computer-readable media can include, for example, semiconductor
memory devices such as random access memory (RAM), read-only memory
(ROM), phase change memory (PRAM), static random access memory
(SRAM), dynamic random access memory (DRAM), erasable programmable
read-only memory (EPROM), electrically erasable programmable
read-only memory (EEPROM), and flash memory devices.
Computer-readable media can also include, for example, magnetic
devices such as tape, cartridges, cassettes, and internal/removable
disks. Computer-readable media can also include magneto-optical
disks and optical memory devices and technologies including, for
example, digital video disc (DVD), CD-ROM, DVD+/-R, DVD-RAM,
DVD-ROM, HD-DVD, and BLURAY. The memory can store various objects
or data, including caches, classes, frameworks, applications,
modules, backup data, jobs, web pages, web page templates, data
structures, database tables, repositories, and dynamic information.
Types of objects and data stored in memory can include parameters,
variables, algorithms, instructions, rules, constraints, and
references. Additionally, the memory can include logs, policies,
security or access data, and reporting files. The processor and the
memory can be supplemented by, or incorporated in, special purpose
logic circuitry.
Implementations of the subject matter described in the present
disclosure can be implemented on a computer having a display device
for providing interaction with a user, including displaying
information to (and receiving input from) the user. Types of
display devices can include, for example, a cathode ray tube (CRT),
a liquid crystal display (LCD), a light-emitting diode (LED), and a
plasma monitor. Display devices can include a keyboard and pointing
devices including, for example, a mouse, a trackball, or a
trackpad. User input can also be provided to the computer through
the use of a touchscreen, such as a tablet computer surface with
pressure sensitivity or a multi-touch screen using capacitive or
electric sensing. Other kinds of devices can be used to provide for
interaction with a user, including to receive user feedback
including, for example, sensory feedback including visual feedback,
auditory feedback, or tactile feedback. Input from the user can be
received in the form of acoustic, speech, or tactile input. In
addition, a computer can interact with a user by sending documents
to, and receiving documents from, a device that is used by the
user. For example, the computer can send web pages to a web browser
on a user's client device in response to requests received from the
web browser.
The term "graphical user interface," or "GUI," can be used in the
singular or the plural to describe one or more graphical user
interfaces and each of the displays of a particular graphical user
interface. Therefore, a GUI can represent any graphical user
interface, including, but not limited to, a web browser, a touch
screen, or a command line interface (CLI) that processes
information and efficiently presents the information results to the
user. In general, a GUI can include a plurality of user interface
(UI) elements, some or all associated with a web browser, such as
interactive fields, pull-down lists, and buttons. These and other
UI elements can be related to or represent the functions of the web
browser.
Implementations of the subject matter described in this
specification can be implemented in a computing system that
includes a back-end component, for example, as a data server, or
that includes a middleware component, for example, an application
server. Moreover, the computing system can include a front-end
component, for example, a client computer having one or both of a
graphical user interface or a Web browser through which a user can
interact with the computer. The components of the system can be
interconnected by any form or medium of wireline or wireless
digital data communication (or a combination of data communication)
in a communication network. Examples of communication networks
include a local area network (LAN), a radio access network (RAN), a
metropolitan area network (MAN), a wide area network (WAN),
Worldwide Interoperability for Microwave Access (WIMAX), a wireless
local area network (WLAN) (for example, using 802.11 a/b/g/n or
802.20 or a combination of protocols), all or a portion of the
Internet, or any other communication system or systems at one or
more locations (or a combination of communication networks). The
network can communicate with, for example, Internet Protocol (IP)
packets, frame relay frames, asynchronous transfer mode (ATM)
cells, voice, video, data, or a combination of communication types
between network addresses.
The computing system can include clients and servers. A client and
server can generally be remote from each other and can typically
interact through a communication network. The relationship of
client and server can arise by virtue of computer programs running
on the respective computers and having a client-server
relationship.
Cluster file systems can be any file system type accessible from
multiple servers for read and update. Locking or consistency
tracking may not be necessary since the locking of exchange file
system can be done at application layer. Furthermore, Unicode data
files can be different from non-Unicode data files.
While this specification contains many specific implementation
details, these should not be construed as limitations on the scope
of what may be claimed, but rather as descriptions of features that
may be specific to particular implementations. Certain features
that are described in this specification in the context of separate
implementations can also be implemented, in combination, in a
single implementation. Conversely, various features that are
described in the context of a single implementation can also be
implemented in multiple implementations, separately, or in any
suitable sub-combination. Moreover, although previously described
features may be described as acting in certain combinations and
even initially claimed as such, one or more features from a claimed
combination can, in some cases, be excised from the combination,
and the claimed combination may be directed to a sub-combination or
variation of a sub-combination.
Particular implementations of the subject matter have been
described. Other implementations, alterations, and permutations of
the described implementations are within the scope of the following
claims as will be apparent to those skilled in the art. While
operations are depicted in the drawings or claims in a particular
order, this should not be understood as requiring that such
operations be performed in the particular order shown or in
sequential order, or that all illustrated operations be performed
(some operations may be considered optional), to achieve desirable
results. In certain circumstances, multitasking or parallel
processing (or a combination of multitasking and parallel
processing) may be advantageous and performed as deemed
appropriate.
Moreover, the separation or integration of various system modules
and components in the previously described implementations should
not be understood as requiring such separation or integration in
all implementations, and it should be understood that the described
program components and systems can generally be integrated together
in a single software product or packaged into multiple software
products.
Accordingly, the previously described example implementations do
not define or constrain the present disclosure. Other changes,
substitutions, and alterations are also possible without departing
from the spirit and scope of the present disclosure.
Furthermore, any claimed implementation is considered to be
applicable to at least a computer-implemented method; a
non-transitory, computer-readable medium storing computer-readable
instructions to perform the computer-implemented method; and a
computer system comprising a computer memory interoperably coupled
with a hardware processor configured to perform the
computer-implemented method or the instructions stored on the
non-transitory, computer-readable medium.
* * * * *
References